code: def skltree_train_and_validate_wrapper(
      method,
      hyperparam_dict,
      data,
      num_tr_data_to_use,
      max_tr_data_size,
      max_va_data_size,
      *args,
      **kwargs,
  ):
      """A wrapper to do some common operations."""
      X_tr = data["train"]["x"][:max_tr_data_size]
      Y_tr = data["train"]["y"][:max_tr_data_size]
      X_va = data["vali"]["x"][:max_va_data_size]
      Y_va = data["vali"]["y"][:max_va_data_size]
      return skltree_train_and_validate(
          method,
          X_tr,
          Y_tr,
          X_va,
          Y_va,
          hyperparam_dict,
          num_tr_data_to_use=num_tr_data_to_use,
          *args,
          **kwargs,
      )
  
file_path: dragonfly/examples/tree_reg/skltree.py
imports: from __future__ import print_function
  import numpy
  from sklearn import ensemble
label_desc: Use image node_id 5 for calling a global function with example usage: skltree_train_and_validate_wrapper(method, hyperparam_dict, data, num_tr_data_to_use, max_tr_data_size, max_va_data_size) and returns: skltree_train_and_validate